The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-01"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "3343777 (up from 3256846 yesterday: 2.67 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "238650 (up from 233388 yesterday: 2.25 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 7.14



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1103461 34037 3.18 64943 1947 3.09 5.89
Spain 213435 0 0.00 24543 0 0.00 11.50
Italy 207428 1965 0.96 28236 269 0.96 13.61
United Kingdom 178685 6204 3.60 27583 741 2.76 15.44
France 167305 6 0.00 24628 218 0.89 14.72
Germany 164077 1068 0.66 6736 113 1.71 4.11
Turkey 122392 2188 1.82 3258 84 2.65 2.66
Russia 114431 7933 7.45 1169 96 8.95 1.02
Iran 95646 1006 1.06 6091 63 1.05 6.37
Brazil 92202 5015 5.75 6412 406 6.76 6.95
China 83959 3 0.00 4637 0 0.00 5.52
Canada 56343 1886 3.46 3537 227 6.86 6.28
Belgium 49032 513 1.06 7703 109 1.44 15.71
Peru 40459 3483 9.42 1124 73 6.95 2.78
Netherlands 39989 477 1.21 4909 98 2.04 12.28
India 37257 2394 6.87 1223 69 5.98 3.28
Switzerland 29705 119 0.40 1754 17 0.98 5.90
Ecuador 26336 1402 5.62 1063 163 18.11 4.04
Portugal 25351 306 1.22 1007 18 1.82 3.97
Saudi Arabia 24097 1344 5.91 169 7 4.32 0.70
Sweden 21520 428 2.03 2653 67 2.59 12.33
Ireland 20833 221 1.07 1265 33 2.68 6.07
Mexico 20739 1515 7.88 1972 113 6.08 9.51
Pakistan 18114 1297 7.71 417 32 8.31 2.30
Singapore 17101 932 5.76 16 1 6.67 0.09
Chile 17008 985 6.15 234 7 3.08 1.38
Israel 16101 155 0.97 225 3 1.35 1.40
Austria 15531 79 0.51 589 5 0.86 3.79
Belarus 14917 890 6.34 93 4 4.49 0.62
Japan 14305 217 1.54 455 25 5.81 3.18
Qatar 14096 687 5.12 12 2 20.00 0.09
Poland 13105 228 1.77 651 7 1.09 4.97
United Arab Emirates 13038 557 4.46 111 6 5.71 0.85
Romania 12567 327 2.67 744 27 3.77 5.92
Ukraine 10861 455 4.37 272 11 4.21 2.50
Korea, South 10780 6 0.06 250 2 0.81 2.32
Indonesia 10551 433 4.28 800 8 1.01 7.58
Denmark 9509 153 1.64 460 8 1.77 4.84
Serbia 9009 0 0.00 179 0 0.00 1.99
Philippines 8772 284 3.35 579 11 1.94 6.60
Bangladesh 8238 571 7.45 170 2 1.19 2.06
Norway 7783 45 0.58 210 0 0.00 2.70
Czechia 7737 55 0.72 240 4 1.69 3.10
Dominican Republic 7288 316 4.53 313 12 3.99 4.29
Colombia 7006 499 7.67 314 21 7.17 4.48
Australia 6778 12 0.18 93 0 0.00 1.37
Panama 6720 188 2.88 192 4 2.13 2.86
Malaysia 6071 69 1.15 103 1 0.98 1.70
South Africa 5951 304 5.38 116 13 12.62 1.95
Egypt 5895 358 6.47 406 14 3.57 6.89
Finland 5051 56 1.12 218 7 3.32 4.32
Morocco 4569 146 3.30 171 1 0.59 3.74
Argentina 4532 104 2.35 225 7 3.21 4.96
Kuwait 4377 353 8.77 30 4 15.38 0.69
Algeria 4154 148 3.69 453 3 0.67 10.91
Moldova 3980 83 2.13 122 6 5.17 3.07
Luxembourg 3802 18 0.48 92 2 2.22 2.42
Kazakhstan 3597 195 5.73 25 0 0.00 0.70
Bahrain 3170 130 4.28 8 0 0.00 0.25
Thailand 2960 6 0.20 54 0 0.00 1.82
Hungary 2863 88 3.17 323 11 3.53 11.28
Greece 2612 21 0.81 140 0 0.00 5.36
Oman 2447 99 4.22 11 0 0.00 0.45
Afghanistan 2335 164 7.55 68 4 6.25 2.91
Nigeria 2170 238 12.32 68 10 17.24 3.13
Iraq 2153 68 3.26 94 1 1.08 4.37
Armenia 2148 82 3.97 33 1 3.12 1.54
Uzbekistan 2086 47 2.31 9 0 0.00 0.43
Croatia 2085 9 0.43 75 6 8.70 3.60
Ghana 2074 0 0.00 17 0 0.00 0.82
Azerbaijan 1854 50 2.77 25 1 4.17 1.35
Cameroon 1832 0 0.00 61 0 0.00 3.33
Iceland 1798 1 0.06 10 0 0.00 0.56
Bosnia and Herzegovina 1781 24 1.37 70 1 1.45 3.93
Estonia 1694 5 0.30 52 0 0.00 3.07
Bulgaria 1555 49 3.25 68 2 3.03 4.37
Cuba 1537 36 2.40 64 3 4.92 4.16
Guinea 1537 42 2.81 7 0 0.00 0.46
North Macedonia 1494 29 1.98 81 4 5.19 5.42
New Zealand 1485 6 0.41 20 1 5.26 1.35
Slovenia 1434 5 0.35 92 1 1.10 6.42
Slovakia 1403 7 0.50 23 0 0.00 1.64
Lithuania 1399 14 1.01 45 0 0.00 3.22
Cote d’Ivoire 1333 58 4.55 15 1 7.14 1.13
Bolivia 1229 119 10.72 66 7 11.86 5.37
Djibouti 1097 8 0.73 2 0 0.00 0.18
Senegal 1024 91 9.75 9 0 0.00 0.88

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 308314 3942 1.30 24039 452 1.92 7.80 15848.72 1235.71 1 in 63
New Jersey 121190 2538 2.14 7538 310 4.29 6.22 13644.16 848.66 1 in 73
Massachusetts 64311 2106 3.39 3716 154 4.32 5.78 9254.04 534.71 1 in 108
Illinois 56055 3137 5.93 2457 102 4.33 4.38 4423.59 193.89 1 in 226
California 52026 1896 3.78 2126 95 4.68 4.09 1316.71 53.81 1 in 759
Pennsylvania 49579 1608 3.35 2635 160 6.46 5.31 3872.76 205.83 1 in 258
Michigan 42356 977 2.36 3866 77 2.03 9.13 4241.17 387.11 1 in 236
Florida 34728 1038 3.08 1314 46 3.63 3.78 1616.93 61.18 1 in 618
Texas 29692 965 3.36 840 28 3.45 2.83 1024.01 28.97 1 in 977
Connecticut 28764 1064 3.84 2339 82 3.63 8.13 8067.79 656.05 1 in 124
Louisiana 28711 710 2.54 1970 65 3.41 6.86 6176.01 423.77 1 in 162
Georgia 27489 1225 4.66 1169 37 3.27 4.25 2589.05 110.10 1 in 386
Maryland 23472 1730 7.96 1080 -60 -5.26 4.60 3882.44 178.64 1 in 258
Ohio 18743 716 3.97 1003 27 2.77 5.35 1603.46 85.81 1 in 624
Indiana 18630 795 4.46 1175 61 5.48 6.31 2767.29 174.53 1 in 361
Virginia 16902 1055 6.66 581 29 5.25 3.44 1980.20 68.07 1 in 505
Colorado 15793 509 3.33 821 44 5.66 5.20 2742.44 142.57 1 in 365
Washington 14637 310 2.16 824 10 1.23 5.63 1922.15 108.21 1 in 520
Tennessee 11891 1156 10.77 204 5 2.51 1.72 1740.19 29.85 1 in 575
North Carolina 11070 316 2.94 419 13 3.20 3.79 1055.48 39.95 1 in 947
Rhode Island 8962 341 3.96 279 13 4.89 3.11 8459.82 263.37 1 in 118
Missouri 8067 249 3.18 360 10 2.86 4.46 1314.39 58.66 1 in 761
Arizona 7969 314 4.10 330 10 3.12 4.14 1046.50 43.34 1 in 956
Iowa 7884 739 10.34 170 8 4.94 2.16 2498.84 53.88 1 in 400
Wisconsin 7314 460 6.71 327 11 3.48 4.47 1256.18 56.16 1 in 796
Alabama 7294 206 2.91 289 17 6.25 3.96 1487.60 58.94 1 in 672
Mississippi 7212 397 5.83 281 20 7.66 3.90 2423.27 94.42 1 in 413
South Carolina 6258 163 2.67 256 12 4.92 4.09 1215.45 49.72 1 in 823
Minnesota 5730 594 11.57 370 27 7.87 6.46 1016.02 65.61 1 in 984
Nevada 5248 195 3.86 246 3 1.23 4.69 1703.81 79.87 1 in 587
Nebraska 5008 727 16.98 73 3 4.29 1.46 2588.91 37.74 1 in 386
Delaware 4918 184 3.89 159 7 4.61 3.23 5050.51 163.28 1 in 198
Kentucky 4882 174 3.70 246 6 2.50 5.04 1092.74 55.06 1 in 915
Utah 4828 156 3.34 46 0 0.00 0.95 1505.95 14.35 1 in 664
District of Columbia 4658 335 7.75 231 7 3.12 4.96 6600.08 327.31 1 in 152
Kansas 4634 221 5.01 140 6 4.48 3.02 1590.63 48.06 1 in 629
Oklahoma 3748 130 3.59 230 8 3.60 6.14 947.19 58.13 1 in 1056
New Mexico 3513 102 2.99 131 8 6.50 3.73 1675.39 62.48 1 in 597
Arkansas 3337 56 1.71 64 3 4.92 1.92 1105.76 21.21 1 in 904
Oregon 2579 69 2.75 104 1 0.97 4.03 611.47 24.66 1 in 1635
South Dakota 2525 76 3.10 21 4 23.53 0.83 2854.21 23.74 1 in 350
New Hampshire 2310 164 7.64 81 9 12.50 3.51 1698.89 59.57 1 in 589
Idaho 2015 31 1.56 63 3 5.00 3.13 1124.40 35.15 1 in 889
Puerto Rico 1575 36 2.34 94 2 2.17 5.97 493.16 29.43 1 in 2028
West Virginia 1152 27 2.40 46 5 12.20 3.99 644.60 25.74 1 in 1551
Maine 1123 28 2.56 55 2 3.77 4.90 835.43 40.92 1 in 1197
North Dakota 1107 40 3.75 23 4 21.05 2.08 1452.64 30.18 1 in 688
Vermont 879 13 1.50 50 1 2.04 5.69 1408.68 80.13 1 in 710
Hawaii 619 1 0.16 16 0 0.00 2.58 437.19 11.30 1 in 2287
Wyoming 566 7 1.25 7 0 0.00 1.24 977.95 12.09 1 in 1023
Montana 453 0 0.00 16 0 0.00 3.53 423.85 14.97 1 in 2359
Alaska 364 9 2.54 9 0 0.00 2.47 497.58 12.30 1 in 2010

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 927438 308314 33.24 47674.46
New Jersey 256545 121190 47.24 28883.08
Massachusetts 289636 64311 22.20 41677.22
Illinois 284688 56055 19.69 22466.23
California 654985 52026 7.94 16576.77
Pennsylvania 227448 49579 21.80 17766.61
Michigan 190505 42356 22.23 19075.57
Florida 402699 34728 8.62 18749.60
Texas 351775 29692 8.44 12131.90
Connecticut 100257 28764 28.69 28120.32
Louisiana 168251 28711 17.06 36192.40
Georgia 168367 27489 16.33 15857.61
Maryland 120983 23472 19.40 20011.48
Ohio 140506 18743 13.34 12020.26
Indiana 99639 18630 18.70 14800.32
Virginia 105648 16902 16.00 12377.45
Colorado 72390 15793 21.82 12570.47
Washington 193981 14637 7.55 25473.90
Tennessee 186132 11891 6.39 27239.46
North Carolina 133832 11070 8.27 12760.39
Rhode Island 66648 8962 13.45 62913.40
Missouri 82425 8067 9.79 13429.89
Arizona 74879 7969 10.64 9833.23
Iowa 45592 7884 17.29 14450.39
Wisconsin 79880 7314 9.16 13719.35
Alabama 91933 7294 7.93 18749.65
Mississippi 71548 7212 10.08 24040.46
South Carolina 59379 6258 10.54 11532.78
Minnesota 74829 5730 7.66 13268.42
Nevada 43595 5248 12.04 14153.50
Nebraska 27385 5008 18.29 14156.79
Delaware 22585 4918 21.78 23193.50
Kentucky 56612 4882 8.62 12671.47
Utah 112558 4828 4.29 35109.01
District of Columbia 21135 4658 22.04 29946.91
Kansas 33034 4634 14.03 11338.98
Oklahoma 63552 3748 5.90 16060.77
New Mexico 67869 3513 5.18 32367.45
Arkansas 49676 3337 6.72 16460.86
Oregon 58176 2579 4.43 13793.18
South Dakota 17363 2525 14.54 19626.77
New Hampshire 22049 2310 10.48 16215.95
Idaho 29225 2015 6.89 16308.00
Puerto Rico 10888 1575 14.47 3409.22
West Virginia 46844 1152 2.46 26211.61
Maine 20669 1123 5.43 15376.29
North Dakota 29525 1107 3.75 38743.57
Vermont 16233 879 5.41 26014.88
Hawaii 31094 619 1.99 21961.02
Wyoming 9695 566 5.84 16751.36
Montana 14203 453 3.19 13289.01
Alaska 20325 364 1.79 27783.66

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 11506 1008 9.60 1879 16.33 9142 485 26 5.66 4.22
Gujarat 4721 326 7.42 736 15.59 3749 236 22 10.28 5.00
Delhi 3738 223 6.34 1167 31.22 2510 61 2 3.39 1.63
Madhya Pradesh 2715 90 3.43 524 19.30 2046 145 8 5.84 5.34
Rajasthan 2666 84 3.25 1116 41.86 1488 62 4 6.90 2.33
Tamil Nadu 2526 203 8.74 1312 51.94 1186 28 1 3.70 1.11
Uttar Pradesh 2328 117 5.29 654 28.09 1632 42 2 5.00 1.80
Andhra Pradesh 1463 60 4.28 403 27.55 1027 33 2 6.45 2.26
Telangana 1044 6 0.58 464 44.44 552 28 0 0.00 2.68
West Bengal 795 0 0.00 139 17.48 623 33 0 0.00 4.15
Jammu and Kashmir 639 25 4.07 247 38.65 384 8 0 0.00 1.25
Karnataka 589 24 4.25 251 42.61 315 22 0 0.00 3.74
Punjab 585 105 21.88 108 18.46 457 20 0 0.00 3.42
Kerala 498 0 0.00 392 78.71 102 4 0 0.00 0.80
Bihar 466 41 9.65 98 21.03 365 3 1 50.00 0.64
Haryana 357 18 5.31 241 67.51 112 4 0 0.00 1.12
Odisha 154 11 7.69 55 35.71 98 1 0 0.00 0.65
Jharkhand 113 3 2.73 21 18.58 89 3 0 0.00 2.65
Chandigarh 88 14 18.92 18 20.45 70 0 0 NaN 0.00
Uttarakhand 57 0 0.00 37 64.91 19 1 1 Inf 1.75
Assam 43 0 0.00 33 76.74 9 1 0 0.00 2.33
Chhattisgarh 43 3 7.50 36 83.72 7 0 0 NaN 0.00
Himachal Pradesh 40 0 0.00 30 75.00 5 2 0 0.00 5.00
Andaman and Nicobar Islands 33 0 0.00 16 48.48 17 0 0 NaN 0.00
Ladakh 22 0 0.00 17 77.27 5 0 0 NaN 0.00
Meghalaya 12 0 0.00 10 83.33 1 1 0 0.00 8.33
Puducherry 8 0 0.00 5 62.50 3 0 0 NaN 0.00
Goa 7 0 0.00 7 100.00 0 0 0 NaN 0.00
Manipur 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Tripura 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Dadra and Nagar Haveli 0 0 NaN 0 NaN 0 0 0 NaN NaN
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 390644 76469 737 0.97 19.58 6628 563 36473 13860 18.12
Piemonte 162568 26684 395 1.50 16.41 2503 181 15562 3097 11.61
Emilia-Romagna 188264 25644 208 0.82 13.62 2112 197 9484 3579 13.96
Veneto 362459 18098 138 0.77 4.99 977 110 7779 1479 8.17
Toscana 146456 9445 93 0.99 6.45 520 124 5373 854 9.04
Liguria 51199 8126 133 1.66 15.87 666 68 3518 1184 14.57
Lazio 143804 6672 56 0.85 4.64 1372 105 4446 482 7.22
Marche 61241 6275 28 0.45 10.25 413 44 3211 911 14.52
Campania 79940 4444 21 0.47 5.56 478 29 2753 359 8.08
P.A. Trento 37838 4132 16 0.39 10.92 146 19 1293 423 10.24
Puglia 64292 4099 27 0.66 6.38 428 39 2947 421 10.27
Sicilia 82860 3194 28 0.88 3.85 399 30 2171 237 7.42
Friuli Venezia Giulia 71013 3041 16 0.53 4.28 131 6 1115 294 9.67
Abruzzo 39385 2948 18 0.61 7.49 297 16 1911 324 10.99
P.A. Bolzano 42903 2528 10 0.40 5.89 112 11 757 278 11.00
Umbria 37762 1393 1 0.07 3.69 60 13 204 68 4.88
Sardegna 26242 1313 18 1.39 5.00 84 12 744 117 8.91
Valle d’Aosta 7769 1133 5 0.44 14.58 72 3 92 137 12.09
Calabria 37054 1112 4 0.36 3.00 105 3 727 86 7.73
Basilicata 13269 378 11 3.00 2.85 49 4 193 25 6.61
Molise 6463 300 2 0.67 4.64 17 1 190 21 7.00

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 28656 1106 4.01 2022 163 8.77 7.06 3356.42 236.83 1 in 298
Ontario 17880 485 2.79 1265 60 4.98 7.07 1215.35 85.99 1 in 823
Alberta 5573 218 4.07 92 2 2.22 1.65 1262.82 20.85 1 in 792
British Columbia 2145 33 1.56 112 1 0.90 5.22 419.69 21.91 1 in 2383
Nova Scotia 959 12 1.27 29 1 3.57 3.02 981.12 29.67 1 in 1019
Saskatchewan 415 26 6.68 7 0 0.00 1.69 351.20 5.92 1 in 2847
Manitoba 281 4 1.44 6 0 0.00 2.14 203.99 4.36 1 in 4902
Newfoundland and Labrador 259 1 0.39 3 0 0.00 1.16 496.77 5.75 1 in 2013
New Brunswick 118 0 0.00 0 0 NaN 0.00 151.28 0.00 1 in 6610
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68128 4512 6.62
Guangdong 1588 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1039 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 944 13 1.38
Jiangxi 937 1 0.11
Shandong 787 7 0.89
Jiangsu 653 0 0.00
Shanghai 652 7 1.07
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 356 1 0.28
Hebei 328 6 1.83
Shaanxi 306 3 0.98
Guangxi 254 2 0.79
Inner Mongolia 201 1 0.50
Shanxi 197 0 0.00
Tianjin 190 3 1.58
Yunnan 185 2 1.08
Hainan 168 6 3.57
Guizhou 147 2 1.36
Liaoning 146 2 1.37
Gansu 139 2 1.44
Jilin 112 1 0.89
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 3372.44 198.48 1 in 297
Spain 4574.26 526.00 1 in 219
Italy 3429.70 466.87 1 in 292
United Kingdom 2689.42 415.16 1 in 372
France 2497.46 367.64 1 in 400
Germany 1981.85 81.36 1 in 505
Turkey 1514.57 40.32 1 in 660
Russia 791.91 8.09 1 in 1263
Iran 1178.49 75.05 1 in 849
Brazil 440.53 30.64 1 in 2270
China 60.58 3.35 1 in 16508
Canada 1498.88 94.09 1 in 667
Belgium 4301.05 675.70 1 in 233
Peru 1257.66 34.94 1 in 795
Netherlands 2327.65 285.74 1 in 430
India 27.82 0.91 1 in 35940
Switzerland 3466.16 204.67 1 in 289
Ecuador 1584.60 63.96 1 in 631
Portugal 2463.65 97.86 1 in 406
Saudi Arabia 731.54 5.13 1 in 1367

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 169690 18399 10.84
Cook Illinois 38668 1673 4.33
Nassau New York 36161 1720 4.76
Suffolk New York 34037 1203 3.53
Westchester New York 29232 1049 3.59
Los Angeles California 24262 1174 4.84
Wayne Michigan 16970 1802 10.62
Bergen New Jersey 15830 1187 7.50
Hudson New Jersey 15148 819 5.41
Philadelphia Pennsylvania 15137 638 4.21
Middlesex Massachusetts 14607 885 6.06
Essex New Jersey 13994 1240 8.86
Suffolk Massachusetts 13295 550 4.14
Passaic New Jersey 12814 599 4.67
Union New Jersey 12779 714 5.59
Miami-Dade Florida 12389 358 2.89
Middlesex New Jersey 11947 591 4.95
Rockland New York 11812 519 4.39
Fairfield Connecticut 11612 839 7.23
Essex Massachusetts 9028 460 5.10
Orange New York 8751 329 3.76
New Haven Connecticut 7900 533 6.75
Oakland Michigan 7423 705 9.50
Prince George’s Maryland 6735 243 3.61
Providence Rhode Island 6579 0 0.00
Harris Texas 6551 122 1.86
Ocean New Jersey 6505 420 6.46
Orleans Louisiana 6495 437 6.73
Jefferson Louisiana 6305 368 5.84
King Washington 6274 452 7.20
Monmouth New Jersey 6132 355 5.79
Norfolk Massachusetts 6065 522 8.61
Hartford Connecticut 5931 715 12.06
Worcester Massachusetts 5787 278 4.80
Marion Indiana 5754 339 5.89
Macomb Michigan 5623 614 10.92
Morris New Jersey 5354 430 8.03
Plymouth Massachusetts 5259 301 5.72
Broward Florida 5144 199 3.87
Montgomery Maryland 4754 262 5.51
District of Columbia District of Columbia 4658 231 4.96
Montgomery Pennsylvania 4406 362 8.22
Maricopa Arizona 4156 147 3.54
Clark Nevada 4118 206 5.00
Riverside California 4079 156 3.82
Mercer New Jersey 4077 239 5.86
Hampden Massachusetts 3900 381 9.77
Fairfax Virginia 3897 137 3.52
Delaware Pennsylvania 3848 240 6.24
Bristol Massachusetts 3792 182 4.80

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc